Summary of Partial Gromov-wasserstein Metric, by Yikun Bai et al.
Partial Gromov-Wasserstein Metricby Yikun Bai, Rocio Diaz Martin, Abihith Kothapalli, Hengrong Du, Xinran Liu, Soheil…
Partial Gromov-Wasserstein Metricby Yikun Bai, Rocio Diaz Martin, Abihith Kothapalli, Hengrong Du, Xinran Liu, Soheil…
Estimating the Local Learning Coefficient at Scaleby Zach Furman, Edmund LauFirst submitted to arxiv on:…
Clarify: Improving Model Robustness With Natural Language Correctionsby Yoonho Lee, Michelle S. Lam, Helena Vasconcelos,…
Consistent Joint Decision-Making with Heterogeneous Learning Modelsby Hossein Rajaby Faghihi, Parisa KordjamshidiFirst submitted to arxiv…
Path Signatures and Graph Neural Networks for Slow Earthquake Analysis: Better Together?by Hans Riess, Manolis…
Revisiting the Dataset Bias Problem from a Statistical Perspectiveby Kien Do, Dung Nguyen, Hung Le,…
Assessing the Impact of Distribution Shift on Reinforcement Learning Performanceby Ted Fujimoto, Joshua Suetterlein, Samrat…
Stochastic Modified Flows for Riemannian Stochastic Gradient Descentby Benjamin Gess, Sebastian Kassing, Nimit RanaFirst submitted…
Estimating Epistemic and Aleatoric Uncertainty with a Single Modelby Matthew A. Chan, Maria J. Molina,…
Early prediction of onset of sepsis in Clinical Settingby Fahim Mohammad, Lakshmi Arunachalam, Samanway Sadhu,…